CAREER: Improving Work Quality and Worker Safety in AI-Supported Crowdwork — NSF Award to University of Tulsa (OK, $438,871)
Crowdsourcing is a technique for breaking large problems that require human input into bite-sized tasks that can be divided among a number of "crowd workers" who complete the tasks for pay. Crowdsourcing is used in many areas: artificial intelligence (AI) tasks require large-scale datasets with human-created labels; re
| Award title | CAREER: Improving Work Quality and Worker Safety in AI-Supported Crowdwork |
|---|---|
| Award ID | 2442883 |
| Awardee | University of Tulsa |
| City | TULSA |
| State | OK |
| Amount obligated | $438,871 |
| Principal investigator | Weiping Pei |
| Program | Secure &Trustworthy Cyberspace |
| Start date | 10/01/2025 |
| Abstract | Crowdsourcing is a technique for breaking large problems that require human input into bite-sized tasks that can be divided among a number of "crowd workers" who complete the tasks for pay. Crowdsourcing is used in many areas: artificial intelligence (AI) tasks require large-scale datasets with human-created labels; research studies with people benefit from crowd workers both as study participants and as data analysts; and many companies use crowd work for their own business needs. As with many |
| Source | NSF Awards |
$799/mo
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